Transfer dependency method 2, Ratio of net transfers to own revenue in Brazil
Brazil: Transfer dependency method 2, Ratio of net transfers to own revenue was -0.2995 in 2020. ▼ Falling
Transfer dependency method 2, Ratio of net transfers to own revenue in Brazil, 2010–2020
Source: International Monetary Fund.
Analysis
In 2020, transfer dependency method 2, ratio of net transfers to own revenue in Brazil stood at -0.2995. That is the lowest value across all 11 years on record.
The figure is down 34.2% on the previous year and down 40.5% over ten years.
Over the whole period, transfer dependency method 2, ratio of net transfers to own revenue in Brazil peaked at -0.2056 in 2015 and was at its lowest, -0.2995, in 2020.
That places Brazil 40th out of 66 countries with data for 2020, putting it in the middle of the range.
The long-run direction has been consistently falling across the 11 years of available data.
Transfer dependency method 2, Ratio of net transfers to own revenue in Brazil, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | -0.2132 | — |
| 2011 | -0.2165 | +1.5% |
| 2012 | -0.2145 | -0.9% |
| 2013 | -0.2086 | -2.7% |
| 2014 | -0.2235 | +7.1% |
| 2015 | -0.2056 | -8.0% |
| 2016 | -0.2177 | +5.9% |
| 2017 | -0.2194 | +0.8% |
| 2018 | -0.2231 | +1.7% |
| 2019 | -0.2232 | +0.0% |
| 2020 | -0.2995 | +34.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -0.2165 | -0.2235 | -0.2056 | 10 |
| 2020s | -0.2995 | -0.2995 | -0.2995 | 1 |
Countries ranked near Brazil
- 37 Uganda -0.2824 compare
- 38 Bulgaria -0.2843
- 39 Uzbekistan -0.2949 compare
- 41 Ukraine -0.3439 compare
- 42 Republic of Korea -0.3528 compare
- 43 El Salvador -0.3535 compare
More public sector data for Brazil
- Arms imports 435.00 million SIPRI trend indicator values (2024)
- Arms imports (SIPRI trend indicator values), per capita 2.05 SIPRI trend indicator values per person (2024)
- Arms imports (SIPRI trend indicator values), per unit of GDP 0.0002 SIPRI trend indicator values per US$ of GDP (2024)
- Arms imports (SIPRI trend indicator values), annual growth rate 135.13 % change on previous year (2024)
- Arms imports (SIPRI trend indicator values), gaps filled 435.00 million SIPRI trend indicator values (2024)
- Military expenditure (current USD), per capita 98.81 current USD per person (2024)
- Military expenditure (current USD), per unit of GDP 0.0096 current USD per US$ of GDP (2024)
- Military expenditure (current USD), annual growth rate -3.86 % change on previous year (2024)
- Military expenditure (current USD), gaps filled 20.95 billion current USD (2024)
- Arms imports (SIPRI trend indicator values), per square kilometre 22.13 SIPRI trend indicator values per square kilometre (2023)
Frequently asked questions
- What is transfer dependency method 2, ratio of net transfers to own revenue in Brazil?
- Transfer dependency method 2, ratio of net transfers to own revenue in Brazil was -0.2995 in 2020, according to International Monetary Fund.
- What is the highest transfer dependency method 2, ratio of net transfers to own revenue recorded in Brazil?
- The highest recorded value was -0.2056 in 2015.
- What is the lowest transfer dependency method 2, ratio of net transfers to own revenue recorded in Brazil?
- The lowest recorded value was -0.2995 in 2020.
- How does Brazil rank for transfer dependency method 2, ratio of net transfers to own revenue?
- Brazil ranks 40th out of 66 countries with data for 2020.
- Is transfer dependency method 2, ratio of net transfers to own revenue rising or falling in Brazil?
- Over the last ten years it is down 40.5%. The long-run trend across the full record is falling.
- Where does this Brazil data come from?
- The figures come from International Monetary Fund, published as part of Transfer dependency method 2, Ratio of net transfers to own revenue, Percent (Central government). Statizoid updates them automatically from the source API.
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About this data
The Fiscal Decentralization dataset includes fiscal decentralization indicators for a sample of IMF member countries. The following indicators are included in the dataset: Revenue and Expenditure Decentralization Shares; Transfer dependency and Vertical Fiscal Imbalances; Deficit and Debt; Allocation of expenditure (economic classification); Allocation of expenditure (functional classification); Allocation of non-Tax Revenues; and Allocation of Taxes.